Target driven visual navigation for a mobile robot using deep reinforcement learning
Target-driven visual navigation remains a critical challenge for autonomous mobile robots (AMRs) operating in dynamic, unstructured environments. Traditional approaches relying on pre-built maps or GPS-based localization often fail in GPS-denied indoor spaces or scenarios requiring adaptation to uns...
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| 格式: | Thesis-Master by Coursework |
| 語言: | English |
| 出版: |
Nanyang Technological University
2025
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/184626 |
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